LDA
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Latent Dirichlet allocation (LDA) topic modeling in javascript for node.js.
LDA is a machine learning algorithm that extracts topics and their related keywords from a collection of documents.

In LDA, a document may contain several different topics, each with their own related terms. The algorithm uses a probabilistic model for detecting the number of topics specified and extracting their related keywords. For example, a document may contain topics that could be classified as beach-related and weather-related. The beach topic may contain related words, such as sand, ocean, and water. Similarly, the weather topic may contain related words, such as sun, temperature, and clouds.

See http://en.wikipedia.org/wiki/Latent_Dirichlet_allocation

## Author

Kory Becker
http://www.primaryobjects.com

Based on original javascript implementation
https://github.com/awaisathar/lda.js

Added stop-words for a lot of languages
https://github.com/stopwords-iso/stopwords-iso